The primary functionality of HelloRAG revolves around its ability to handle a wide variety of data modalities, including text, tables, audio, images, and videos. This multi-modal processing capability allows users to extract, annotate, and transform data while preserving its semantic meaning. For example, users can convert raw data into structured formats suitable for training LLMs or conducting detailed analyses. This feature significantly reduces the manual effort typically required for data preparation, allowing teams to focus on higher-level tasks that require human insight.


One of the standout features of HelloRAG is its no-code interface, which makes it accessible to users with varying technical backgrounds. This design allows individuals without extensive programming knowledge to effectively utilize the platform's capabilities. Users can navigate through an intuitive interface that guides them through the various functionalities available, making it easier to manage complex data tasks without needing specialized skills.


HelloRAG also emphasizes workflow automation, transforming repetitive and labor-intensive tasks into streamlined processes. This automation not only increases efficiency but also minimizes the potential for human error in data handling. By automating routine tasks, organizations can allocate resources more effectively and enhance overall productivity.


Another significant aspect of HelloRAG is its scalable human-in-the-loop feature. This capability provides users with full control and transparent insights into every detail of the ingested data for LLMs. As a result, users can ensure unmatched precision and customization at scale, tailoring their workflows to meet specific project requirements.


Security is a paramount concern for HelloRAG, which implements robust measures to protect user data throughout the ingestion and processing phases. The platform ensures compliance with industry standards for data handling and storage, giving users confidence that their sensitive information is secure.


HelloRAG offers several pricing plans tailored to different user needs:


  • Free Trial: Users can access the platform for 30 days with support for up to 10 files, each containing less than 20 pages. Supported formats include PDF, PPTX/PPT, and DOCX/DOC.
  • Starter Plan: Priced at $200 per month, this plan allows users to process up to 5,000 pages per month with an additional charge of $0.05 per extra page. It includes features such as AI-assisted parsing and annotation with vision mode and Slack channel support.
  • Advanced Plan: At $900 per month, this plan supports up to 30,000 pages per month with an additional charge of $0.04 per extra page. It offers enhanced features like dedicated technical support and upcoming API integration capabilities.
  • Enterprise Plan: Custom pricing is available for larger organizations requiring tailored solutions and volume discounts.

  • Key features of HelloRAG include:


  • Multi-modal processing capabilities for various types of content.
  • No-code interface designed for ease of use across different user skill levels.
  • Semantic-preserving extraction and transformation of complex datasets.
  • Workflow automation that streamlines repetitive tasks.
  • Scalable human-in-the-loop functionality for precise data management.
  • Comprehensive visibility over the data ingestion process.
  • Secure handling and storage of sensitive information.
  • AI-assisted parsing and annotation capabilities.
  • Support for multiple document types including PDFs and presentations.
  • Flexible pricing plans catering to different organizational needs.

  • HelloRAG aims to transform how organizations manage their multi-modal data by providing accessible tools that facilitate efficient processing and integration into AI applications. By focusing on usability, security, and flexibility, HelloRAG empowers users to unlock the full potential of their data in enhancing LLM performance and achieving their analytical goals.


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